我有以下数据框：
claim diagnosis sequence
100 1 1.0
100 2 1.0
100 3 NaN
100 4 NaN
105 1 1.0
105 2 2.0
105 3 2.0
105 4 NaN
111 1 1.0
111 2 2.0
111 3 3.0
111 4 NaN
我需要的是通过声明将所有NaN替换为上一行中的oneup值：
claim diagnosis sequence
100 1 1.0
100 2 1.0
100 3 2.0
100 4 3.0
105 1 1.0
105 2 2.0
105 3 2.0
105 4 3.0
111 1 1.0
111 2 2.0
111 3 3.0
111 4 4.0
我尝试过cumcount，但似乎无法使用以前的值。我也尝试过loc，但还不太熟悉。
things = [{'claim':100, 'diagnosis':1, 'sequence':1},
{'claim':100, 'diagnosis':2, 'sequence':1 },
{'claim':100, 'diagnosis':3, },
{'claim':100, 'diagnosis':4, },
{'claim':105, 'diagnosis':1, 'sequence':1},
{'claim':105, 'diagnosis':2, 'sequence':2},
{'claim':105, 'diagnosis':3,'sequence':2 },
{'claim':105, 'diagnosis':4, },
{'claim':111, 'diagnosis':1, 'sequence':1},
{'claim':111, 'diagnosis':2, 'sequence':2},
{'claim':111, 'diagnosis':3, 'sequence':3},
{'claim':111, 'diagnosis':4, }]
df = pd.DataFrame(things)
df
我已经为此动了好几天，任何帮助都是很棒的。
答案 0 :(得分：1)
使用libname hs2 SPDE '/work/saswork/spde';
DATA table1 (KEEP=cp b pl ii ex exy fred sta n ee qwe ver pot gr pcr burb)
table3 (KEEP=b pt cl sb n sd ed yt ta cl sb cp pcr burb)
table2 (KEEP=b pt cl sb n sd ed yt ta cl sb cp pcr burb);
SET hs2.bigtable_char (
KEEP=cp b pl ii ex exy fred sta n ee qwe ver poy gr pcr burb
pt cl sb sd ed yt ta
WHERE=(cl= 'YTR' and sb = 'IYU' and cp in (2,47,101,45)));
IF (sd <= "&end."d <= ed AND ti /*ti is a numeric variable*/ AND ta not in ('A' 'B' 'C')) THEN OUTPUT table3;
IF (sd <= "&middle."d <= ed AND ti AND ta not in ('A' 'B' 'C')) THEN OUTPUT table2;
IF (fred >= "&start."d and fred <= "&end."d) THEN OUTPUT table1;
RUN;
计数该行之前的cumsum数，然后加NaN
ffill